Numerical Analysis of Backscatter Radiography for Prediction of Pipelines Situation: Their Bursting and Casing Failure Consideration from inside

Document Type : Original Article

Authors

Department of Chemical Engineering, Faculty of Engineering, Arak University, Arak, Iran

Abstract

Backscatter radiography as a technique can successfully be applied for predicting the pipeline bursting and casing failure. A valid numerical technique will allow predicting these issues without needing to access the outside of the pipelines. Furthermore, this technique has the ability to estimate the shape and depth of damages. It is normally preferred to apply non-destructive testing (NDT) methods which can monitor the status of a pipeline from the internal surface of it without needing to access both sides of it depending on various locations of pipe such as underground or submarine. In the current study, backscatter radiography as an applicable and NDT method to detect locations with potential for pipeline bursting or casing failure was carefully investigated using the Monte Carlo simulation tool. The data obtained by the simulation process showed that backscatter radiography could detect deformations, corroded areas, depositions, creation of load on the casing, lacking proper cementation, excessive pressure inside the pipelines, and other factors which may increase the risk of pipelines bursting or casing failure (in-situ and online) with an acceptable accuracy.

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References

  1. Rabia, H.,” Oil well drilling engineering: principles and practice”, London: Graham & Trotman, (1985).
  2. Chilingar, G.V., Serebrykov, V.A., Robertson, J., “Origin and Prediction of Abnormal Formation Pressures”, Elsevier Science, First Edition, (2002), 373.
  3. Zhi, Z., Jianping, H., Minghua, H., Jun, H., Genda, C., “Casing pipe damage detection with optical fiber sensors: A case study in oil well constructions”, Advances in Civil Engineering, (2010), 1-9. DOI: 10.1117/12.848727
  4. Ghodusi, F., Jalilfar, H., Jafari, S. “Analysis of the casing collapse in terms of geomechanical parameters and solid mechanics”, Journal of Chemical and Petroleum Engineering, 53, No. 2, (2019), 211-225. DOI: 10.22059/jchpe.2019.274240.1267
  5. Abdideh, M., HedayatiKhah, S., “Analytical and numerical study of casing collapse in Iranian Oil field”, Geotechnical and Geological Engineering 36, (2018), 1723-1734. https://doi.org/10.1007/s10706-017-0428-0
  6. Taylor, N., Clubb, G., Atkin, I.M., 2015. The effect of bending and axial compression on pipeline burst capacity. Society of Petroleum Engineers. https://doi.org/10.2118/175464-MS
  7. Pleșcan, C., Tanciu, M.D., Zasz, M., “The Effect of Internal Pressure on Radial Strain of Steel Pipe Subjected to Monotonic and Cyclic Loading”, Materials 12, No. 18, (2019), 1-12. DOI: 10.3390/ma12182849
  8. Wypych, G., “Handbook of Plasticizers”, Third Edition, Chem. Tec Publishing. (2017), DOI: 1515/ijnaoe-2015-0031
  9. Lee, G.H., Pouraria, H., Seo, J.K.W., Paik, J.K., “Burst strength behavior of an aging subsea gas pipeline elbow in different external and internal corrosion-damaged positions”, International Journal of Naval Architecture and Ocean Engineering 7, No. 3, (2015), 435-451.
  10. Rahmani, F., Azimi, S., Bayat, E., Dost Mohammadi, V., “Comparison of the time behavior in the separation of light and heavy materials in X-ray backscattered method as a diagnostic tool in inspection”, Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 812, (2016), 86-91. DOI: 1016/j.nima.2015.12.052
  11. V., Davarnejad, R., “Simulation of corrosion detection inside wellbore by X-ray backscatter radiography”, Applied Radiation and Isotopes 145, (2019), 116-119. https://doi.org/10.1016/j.apradiso.2018.12.026
  12. Jamshidi, V., Davarnejad, R. “Simulation of deposition detection inside wellbore by photon backscatter radiography”, International Journal of Engineering Transactions C: Aspects, Vol. 33, (2020), 2450-2454. DOI: 10.5829/IJE.2020.33.12C.03
  13. Jamshidi, V., Davarnejad, R. “Photon backscatter radiography application for the simulation of corrosion detection inside a pipeline: A novel proposal for 360o corrosion consideration in the pipelines”, Applied Radiation and Isotopes 176, (2021), 109844. https://doi.org/10.1016/j.apradiso.2021.109844
  14. Knoll, G.F., 2010. Radiation detection and measurement, Wiley, New York, US.
  15. Kelley, J., Cui, S., Baciak, J., “Measurement of the modulation transfer function for a backscatter radiography system used in nondestructive examination”, Radiation Physics and Chemistry 155, (2019), 202-208. DOI: 10.1016/j.radphyschem.2018.10.004
  16. Shuang, C., Jyothier, K.N., Sanjiv, S., Bence, B., James, E.B., “Low-cost current mode data acquisition board for X-ray backscatter imaging systems”, Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 954, (2020), 162210. DOI: 10.1016/j.nima.2019.05.051
  17. Kaldal, G., Jonsson, M., Pálsson, H., Karlsdottir, S., “Collapse analysis of the casing in high temperature geothermal wells”, Thirty-Eighth Workshop on Geothermal Reservoir Engineering, Stanford University, Stanford, California, (2013).
  18. Asadi, A., Parhizgar, N., Momeni, E., “Prediction of collapse in a casing and tubing: with case study of Iran”, Australian Journal of Basic and Applied Sciences 5, No. 11, (2011), 831-840.
  19. Karlsdottir, S.N., Thorbjornsson, I.O., “High Temperature Geothermal Wells Center of Excellence in Iceland - Phase I: Corrosion testing of steel in high temperature geothermal wells in Iceland”, Technical Report for RANNIS (The Icelandic Centre for Research), Reykjavik. (2009).
  20. Shohanna, I., 2015. Relation between density and compressive strength of hardened concrete, Concrete Research Letters 6, No. 4, 182-189.
  21. Briesmeister, F.J., “MCNP-A General Monte Carlo, N-Particle Transport Code”, Version 4C, Los Alamos National Laboratory, (2000).
  22. McKinney, G.W., “MCNP6 Cosmic & Terrestrial Background Particle Fluxes – Release 3”. Los Alamos National Laboratory, United States. (2013).
  23. NRC’s Regulations, “Title 10, Code of Federal Regulations”, Standards for protection against radiation, Section 20.1003. (2016).
  24. Shedlock, D., Hammerschmidt, A., “X-ray backscatter device for wellbore casing and pipeline inspection”, US patent: 8138471 B1, 20 March, (2012).
  25. StanojevPeriera, M.A., Pugliesi, R., Pugliesi, F., 2008. Neutron induced alpha radiography, Radiation Measurements, 43(7): 1226-1230.
  26. Williams, R.G., Gesh, C.J., Pagh, R.T., “Compendium of Material Composition Data for Radiation Transport Modeling”, Pacific Northwest National Laboratory. (2006).
  27. Speight, J.G. “Handbook of petroleum analysis”, John Wiley & Sons, US. (2001).
  28. Prenga, Dode., “General Features of the q-XY Opinion Model”, Journal of Human, Earth, and Future 1, No. 2, (2020), 87-96. Doi: 10.28991/HEF-2020-01-02-05
International Journal of Engineering
Volume 35, Issue 2
TRANSACTIONS B: Applications
February 2022
Pages 380-386

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